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计算逐日潜在腾发量的BP神经网络方法
引用本文:刘志武,倪广恒,雷志栋,杜卫东. 计算逐日潜在腾发量的BP神经网络方法[J]. 灌溉排水学报, 2004, 23(4): 75-77
作者姓名:刘志武  倪广恒  雷志栋  杜卫东
作者单位:1. 清华大学,水利水电工程系,北京,100084
2. 阿瓦提丰收灌区供水公司,新疆,阿瓦提,843200
基金项目:国家"973"重点基础项目(G199904350602)
摘    要:根据新疆阿瓦提县气象站1992~2001年的气象资料,利用Penman-Monteith公式计算逐日和逐月潜在腾发量,分析其变化特性,并利用BP神经网络建立计算逐日潜在腾发量的经验模型,探讨各输入因子对模型的影响。计算结果表明,所建立的模型简单易行,精度较高,可以应用于生产实践中。

关 键 词:潜在腾发量  Penman-Monteith  BP神经网络
文章编号:1000-646X(2004)04-0075-03
修稿时间:2004-04-01

Estimation of Daily Potential Evapotranspiration by BP Neural Network
LIU Zhi-wu,NI Guang-heng,LEI Zhi-dong,DU Wei-dong. Estimation of Daily Potential Evapotranspiration by BP Neural Network[J]. Journal of Irrigation and Drainage, 2004, 23(4): 75-77
Authors:LIU Zhi-wu  NI Guang-heng  LEI Zhi-dong  DU Wei-dong
Affiliation:LIU Zhi-wu~1,NI Guang-heng~1,LEI Zhi-dong~1,DU Wei-dong~2
Abstract:With the meteorological data from 1999 to 2001 of Awati Meteorological Station in Xinjiang Province, daily and monthly potential evapotranspiration rates are estimated by Penman-Monteith equation, and their characteristics are analyzed. Empirical models to estimate daily potential evapotranspiration are then established by BP neural network method, and the effects of each factor are discussed. It is shown that the proposed models can estimate the potential evapotranspiration with sufficient accuracy and can be easily used in practice.
Keywords:potential evapotranspiration  Penman-Monteith  BP neural network
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